Room 127-128
08:30-08:45 Introduction
08:45-09:15 Gisbert Schneider: Artificially-intelligent drug design
09:15-09:45 Florian Pinel: Chef Watson: Computational Creativity Applied To Recipes
09:45-10:00 Maxim Berman and Matthew Blaschko: Efficient optimization for probably submodular constraints in CRFs
10:00-10:15 Fabrizio Costa and Stefan Mautner: A constructive approach for graph concepts with long range dependencies
10:15-10:30 Paolo Dragone, Luca Erculiani, Maria Teresa Chietera, Stefano Teso and Andrea Passerini: Constructive Layout Synthesis via Coactive Learning
10:30-11:00 Coffee break
11:00-11:30 Ruslan Salakhutdinov: Multiplicative and Fine-grained Gating for Reading Comprehension
11:30-12:00 Douglas Eck: Magenta
12:00-12:15 Poster spotlights (4x3min)
- Sephora Madjiheurem, Lizhen Qu and Christian Walder: Chord2Vec: Learning Musical Chord Embeddings
- Memo Akten and Mick Grierson: Collaborative creativity with Monte-Carlo Tree Search and Convolutional Neural Networks
- Jasmina Smailović, Martin Žnidaršič, Nada Lavrač, Senja Pollak and Janez Kranjc: Modelling human appreciation of machine generated What-if ideas
- Tetsuro Kitahara and Yuichi Tsuchiya: A Machine Learning Approach to Support Music Creation by Musically Untrained People
12:15-01:30 On-site lunch (provided to participants) with poster session and local wine!
01:30-02:00 Ross Goodwin: Narrated Reality
02:00-02:30 Simon Colton: Computational Creativity
02:30-02:45 Tian Qi Chen and Mark Schmidt: Fast Patch-based Style Transfer of Arbitrary Style
02:45-03:00 Mehdi Cherti, Balázs Kégl and Akin Kazakci: Out-of-class novelty generation: an experimental foundation
03:00-03:30 Coffee break
03:30-04:00 Thorsten Joachims: Structured Prediction with Logged Bandit Feedback
04:00-04:30 Best contributed talk:
Rafael Gomez-Bombarelli, David Duvenaud, Jose Miguel Hernandez-Lobato, Timothy Hirzel, Jorge Aguilera-Iparraguirre, Ryan Adams and Alan Aspuru-Guzik: Automatic Chemical Design using Variational Autoencoders
04:30-04:40 Poster spotlights (3x3min)
- Olof Mogren: C-RNN-GAN: Generative adversarial training of sequence models with continuous data
- Xuezhou Zhang, Hrag G. Ohannessian, Ayon Sen, Scott Alfeld and Xiaojin Zhu: Optimal Teaching for Online Perceptrons
- Bowen Xu, David Acuña and David Duvenaud: Generating Class-conditional Images with Gradient-based Inference
04:40-05:10 Poster session with local wine!
05:10-05:45 Panel discussion with local wine!